Logo

Introduction to Probability, Statistics, and Random Processes

Large book cover: Introduction to Probability, Statistics, and Random Processes

Introduction to Probability, Statistics, and Random Processes
by

Publisher: Kappa Research, LLC
ISBN/ASIN: 0990637204
ISBN-13: 9780990637202
Number of pages: 744

Description:
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Probability and StatisticsProbability and Statistics
- UCLA
This book is developed as a free, collaborative and interactive learning environment for elementary probability and statistics education. The book blends information technology, scientific techniques and modern pedagogical concepts.
(6530 views)
Book cover: Theory of Probability: A Historical EssayTheory of Probability: A Historical Essay
by - arXiv.org
This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.
(1311 views)
Book cover: Random Matrix Models and Their ApplicationsRandom Matrix Models and Their Applications
by - Cambridge University Press
The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.
(10642 views)
Book cover: Lectures on Stochastic AnalysisLectures on Stochastic Analysis
by - University of Wisconsin
Covered topics: stochastic integrals with respect to general semimartingales, stochastic differential equations based on these integrals, integration with respect to Poisson measures, stochastic differential equations for general Markov processes.
(8915 views)